Abstract
The paper deals with the implementation of Six Sigma methodology on manufacturing of shafts used in submergible pump. The paper showcases the study carried out on the grinding machine used in manufacturing process. The manufacturing unit was suffering from poor quality level due to high rejections of submergible pump systems. The initial study on the grinding machine revealed highly significant variance and a low value of process capability index. As robust design is one of the salient modules of Six Sigma Management, appropriate experiments were designed, conducted and analyzed to resolve the said problem. Details of the study carried out are reported in the paper. The end results of the study were confirmed with the manufacturer that the rejection level of the final output i.e. submergible pumps is substantially reduced by realigning the process with the parameters recommended by the analytical study. For further reduction in variance of the process a detailed Gauge R&R was applied. The outcome of the analysis is reported in the paper.
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References
Aboelmaged GM (2010) Six Sigma quality: a structured review and implications for future research. Int J Qual Reliab Manag 27(3):268–317
Andersson R, Eriksson H, Torstensson H (2006) Similarities and differences between TQM, Six Sigma and lean. TQM Mag 18(3):282–296
Bagchi TP (1993) Taguchi methods explained: practical steps to robust design. Prentice Hall of India, New Delhi
Basem SE (2005) Axiomatic quality-integrating axiomatic design with six-sigma, reliability, and quality engineering. Wiley, New Jersey
Chakrabarty A, Tan K (2007) The current state of Six Sigma application in services. Manag Serv Qual 17(2):194–208
Dhavalikar MN, Kulkarni MS, Mariappan V (2002) Combined taguchi and dual response method for optimisation of a centerless grinding operation. J Mater Process Technol 132:90–94
Donald WB, Kubaik TM (2005) The certified Six Sigma black belt handbook. ASQ Quality Press, Milwaukee
Dreachslin J, Lee P (2007) Applying Six Sigma and DMAIC to diversity initiatives. J Healthc Manag 52(6):361–367
Genichi T, Elsayed AE, Thomas H (1989) Quality engineering in production systems. Mc Graw Hill, Singapore
Hammer M (2002) Process management and the future of Six Sigma. MIT Sloan Manag Rev 43(2):26–32
Kaushik P, Khanduja D (2008) DM make-up water reduction in thermal power plants using Six Sigma DMAIC methodology. J Sci Ind Res 67(1):36–42
Kumar S, Strandlund E, Thomas D (2008a) Improved service system design using Six Sigma DMAIC for a major US consumer electronics and appliance retailer. Int J Retail Distrib Manag 36(12):970–994
Kumar S, Wolfe A, Wolfe K (2008b) Using Six Sigma DMAIC to improve credit initiation process in a financial services operation. Int J Prod Perform Manag 57(8):659–676
Li MH, Al-Refaie A, Yang CY (2008) DMAIC approach to improve the capability of SMT solder printing process. IEEE Trans Electron Packag Manuf 31(2):126–133
Phadke MS (1989) Quality engineering using robust design. Prentice Hall/AT&T, New Jersey
Schroeder RG, Linderman K, Liedtke C, Choo A (2008) Six Sigma: definition and underlying theory. J Oper Manag 26(4):536–554
Tong J, Tsung F, Yen B (2004) DMAIC approach to printed circuit board quality improvement. Int J Adv Manuf Technol 23(7):523–531
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Mariappan, V., Prabhu Gaonkar, R.S., Sakhardande, M. et al. An integrated statistical analysis for process improvement. Int J Syst Assur Eng Manag 3, 184–193 (2012). https://doi.org/10.1007/s13198-012-0109-6
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DOI: https://doi.org/10.1007/s13198-012-0109-6